Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as risk factors for Alzheimer’s disease

Journal Article (2022)
Author(s)

Henne Holstege (Vrije Universiteit Amsterdam, Netherlands Institute for Neuroscience, TU Delft - Intelligent Systems)

M.J. Hulsman (Netherlands Institute for Neuroscience, TU Delft - Information management, Vrije Universiteit Amsterdam)

Camille Charbonnier (Université Rouen Normandie, Rouen)

Banjamin Grenier-Boley (Université de Lille)

Olivier Quenez (Université Rouen Normandie, Rouen)

Detelina Grozeva (Cardiff University)

Jeroen G.J. Van Rooij (Rotterdam Eye Hospital, Erasmus MC)

M.J.T. Reinders (TU Delft - Pattern Recognition and Bioinformatics)

S.J. Van der Lee (TU Delft - Pattern Recognition and Bioinformatics)

More Authors (External organisation)

Department
Intelligent Systems
Copyright
© 2022 H. Holstege, M.J. Hulsman, Camille Charbonnier, Banjamin Grenier-Boley, Olivier Quenez, Detelina Grozeva, Jeroen G.J. van Rooij, M.J.T. Reinders, S.J. van der Lee, More Authors
DOI related publication
https://doi.org/10.1038/s41588-022-01208-7
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 H. Holstege, M.J. Hulsman, Camille Charbonnier, Banjamin Grenier-Boley, Olivier Quenez, Detelina Grozeva, Jeroen G.J. van Rooij, M.J.T. Reinders, S.J. van der Lee, More Authors
Department
Intelligent Systems
Issue number
12
Volume number
54
Pages (from-to)
1786-1794
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Abstract

Alzheimer’s disease (AD), the leading cause of dementia, has an estimated
heritability of approximately 70%1. The genetic component of AD has been mainly assessed using genome-wide association studies, which do not capture the risk contributed by rare variants2. Here, we compared the gene-based burden of rare damaging variants in exome sequencing data from 32,558 individuals—16,036 AD cases and 16,522 controls. Next to variants in TREM2, SORL1 and ABCA7, we observed a significant association of rare, predicted damaging variants in ATP8B4 and ABCA1 with AD risk, and a suggestive signal in ADAM10. Additionally, the rare-variant burden in RIN3, CLU, ZCWPW1 and ACE highlighted these genes as potential drivers of respective AD-genome-wide association study loci. Variants associated with the strongest effect on AD risk, in particular loss-of-function variants, are enriched in early-onset AD cases. Our results provide additional evidence for a major role for amyloid-β precursor protein processing, amyloid-β aggregation, lipid metabolism and microglial function in AD.